ETD system

Electronic theses and dissertations repository

 

Tesi etd-02052016-161116


Thesis type
Tesi di dottorato di ricerca
Author
BACCI DI CAPACI, RICCARDO
URN
etd-02052016-161116
Title
Diagnostica Avanzata di Sistemi di Controllo di Processi Industriali - Advanced Diagnosis of Industrial Process Control Systems
Settore scientifico disciplinare
ING-IND/26
Corso di studi
INGEGNERIA
Commissione
tutor Prof. Scali, Claudio
relatore Prof. Pannocchia, Gabriele
controrelatore Prof. Landi, Alberto
commissario Prof. Huang, Biao
commissario Prof. Barolo, Massimiliano
Parole chiave
  • Controllo di Processo Industriale
  • Diagnostica e Monitoraggio Loop di Controllo
  • Valvole di regolazione
  • Modellazione Attrito
  • Diagnostica Attrito
  • Quantificazione Attrito
  • Compensazione Attrito
Data inizio appello
08/03/2016;
Consultabilità
completa
Riassunto analitico
This PhD work aims to develop an advanced monitoring and diagnostic system for industrial process control loops.<br>This study is based on techniques and algorithms which make use of data available in industrial plants in order to evaluate performance of control loops, detect and distinguish different causes of malfunction, and suggest counteractions to perform.<br>The overall activity includes modeling and simulation in MATLAB, experimentations on pilot plants, analysis of industrial data, and implementations in process plants.<br>The whole PhD activity is framed in a series of projects for development and analysis of monitoring systems, carried out in the last 15 years within the Laboratory of Control of Chemical Processes (CPCLab).<br>The software developed in this thesis is an evolution of the monitoring system, called PCU (Plant Check Up), which has formed a subject of research in the past several years.<br>Different versions of this monitoring system are now available, which vary depending on equipments and devices used in the plants and on variables and measurements available from DCS.<br>Different collaborations and partnerships with Italian industrial companies (as ENI and ENEL) have been established in the last years.<br>Industrial implementations have constituted an interesting source of inspiration on real problems and a mean of validation of the actual operating ability of the system, as well as a large data base valuable to test new monitoring and diagnostic techniques. <br>These activities have been accompanied by technical reports, and have also generated some scientific papers for the most significant results and applications.
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